mirror of https://github.com/hpcaitech/ColossalAI
64 lines
2.8 KiB
Python
64 lines
2.8 KiB
Python
#!/usr/bin/env python
|
|
# -*- encoding: utf-8 -*-
|
|
|
|
from contextlib import contextmanager
|
|
|
|
import torch.nn as nn
|
|
|
|
from colossalai.context import ParallelMode
|
|
from colossalai.core import global_context as gpc
|
|
|
|
|
|
class ParallelLayer(nn.Module):
|
|
global_state_dict: bool = True
|
|
|
|
def __init__(self):
|
|
super().__init__()
|
|
self.data_parallel_rank = 0 if not gpc.is_initialized(ParallelMode.DATA) else gpc.get_local_rank(
|
|
ParallelMode.DATA)
|
|
self.data_parallel_size = 1 if not gpc.is_initialized(ParallelMode.DATA) else gpc.get_world_size(
|
|
ParallelMode.DATA)
|
|
|
|
self.tensor_parallel_rank = 0 if not gpc.is_initialized(ParallelMode.TENSOR) else gpc.get_local_rank(
|
|
ParallelMode.TENSOR)
|
|
self.tensor_parallel_size = 1 if not gpc.is_initialized(ParallelMode.TENSOR) else gpc.get_world_size(
|
|
ParallelMode.TENSOR)
|
|
|
|
self.pipeline_parallel_rank = 0 if not gpc.is_initialized(ParallelMode.PIPELINE) else gpc.get_local_rank(
|
|
ParallelMode.PIPELINE)
|
|
self.pipeline_parallel_size = 1 if not gpc.is_initialized(ParallelMode.PIPELINE) else gpc.get_world_size(
|
|
ParallelMode.PIPELINE)
|
|
|
|
def _load_from_global_state_dict(self, state_dict, prefix, local_metadata, strict, missing_keys, unexpected_keys,
|
|
error_msgs):
|
|
return super()._load_from_state_dict(state_dict, prefix, local_metadata, strict, missing_keys, unexpected_keys,
|
|
error_msgs)
|
|
|
|
def _save_to_global_state_dict(self, destination, prefix, keep_vars):
|
|
return super()._save_to_state_dict(destination, prefix, keep_vars)
|
|
|
|
def _load_from_state_dict(self, state_dict, prefix, local_metadata, strict, missing_keys, unexpected_keys,
|
|
error_msgs):
|
|
if self.global_state_dict:
|
|
if gpc.get_local_rank(ParallelMode.TENSOR) != 0:
|
|
missing_keys.clear()
|
|
unexpected_keys.clear()
|
|
return self._load_from_global_state_dict(state_dict, prefix, local_metadata, strict, missing_keys,
|
|
unexpected_keys, error_msgs)
|
|
return super()._load_from_state_dict(state_dict, prefix, local_metadata, strict, missing_keys, unexpected_keys,
|
|
error_msgs)
|
|
|
|
def _save_to_state_dict(self, destination, prefix, keep_vars):
|
|
if self.global_state_dict:
|
|
return self._save_to_global_state_dict(destination, prefix, keep_vars)
|
|
return super()._save_to_state_dict(destination, prefix, keep_vars)
|
|
|
|
@classmethod
|
|
@contextmanager
|
|
def use_local_state_dict(cls):
|
|
try:
|
|
cls.global_state_dict = False
|
|
yield
|
|
finally:
|
|
cls.global_state_dict = True
|